Perform capacity & performance engineering: load modeling, autoscaling policies, cost / efficiency tuning.
Reduce toil via tooling, runbooks, proactive failure analysis, chaos / fault injection (AWS FIS or similar).
Partner with development teams on architectural reviews, production readiness (operability, resilience, security, observability).
Enforce least‑privilege, secrets management , and infrastructure security; integrate policy as code.
Improve alert quality (noise reduction, actionable context) to lower MTTR and fatigue.
Champion reliability patterns: backpressure, graceful degradation,, circuit breaking
Support distributed systems debugging (timeouts, partial failures, consistency anomalies) with emphasis on AI.
Contribute to governance of change management, deployment health gates, and release safety.
Document playbooks, escalation paths, and evolving reliability standards.
Treat reliability as a product: roadmap, KPIs, stakeholder alignment, continuous improvement.
Preferred Qualifications
3+ years in SRE / Production Engineering / DevOps
Proficient in one or more: Go, Python, TypeScript/Node.js, or Ruby for automation, tooling, and services.
Strong Linux internals and networking fundamentals (DNS, TLS, HTTP, routing, load balancing).
Hands-on Infrastructure as Code (Terraform) and GitOps workflows.
Containers & orchestration (AWS ECS) including resource tuning & scaling strategies.
Production-grade observability: Prometheus, Grafana, OpenTelemetry, ELK, Datadog (preferred).
CI/CD design (pipelines, promotion strategies, automated verification, rollout / rollback).
Full incident management lifecycle & quantitative postmortem practices.
Experience with distributed systems failure modes (latency spikes, retry storms, thundering herds).
Chaos / fault injection frameworks (AWS FIS preferred).
Performance / load testing (k6, Locust, Gatling) and profiling for bottleneck isolation.
BS/MS in Computer Science, Engineering, or equivalent practical expertise.
Mindset & Behaviors
Bias for automation and measurable reliability outcomes.
Calm, clear communicator under pressure; drives clarity during ambiguity.
Sees reliability as a product with customers, SLAs, and iteration cycles.
Data-driven; prefers leading indicators over reactive firefighting.
Raises the bar for operational excellence and shared ownership.
Why Join Us
Shape quality & reliability strategy for a modern, mission-driven safety platform.
Direct impact: your work protects communities and improves public safety outcomes.
Work across observability, distributed systems, infrastructure automation, and high-velocity delivery.
Influence engineering culture: shift-left reliability, proactive resilience, sustainable on-call.
Collaborate with teams modernizing architecture (microservices, event streaming, serverless, edge).
Leverage advanced tooling (Datadog, Terraform, progressive delivery frameworks).
Join a culture focused on learning loops, autonomy, and meaningful impact.
